神经形态工程学
记忆电阻器
材料科学
突触
长时程增强
电阻随机存取存储器
横杆开关
突触重量
神经促进
遗忘
记忆晶体管
光电子学
计算机科学
纳米技术
电压
神经科学
电气工程
人工智能
人工神经网络
工程类
电信
化学
语言学
受体
哲学
生物
生物化学
作者
Omesh Kapur,Dongkai Guo,Jamie D. Reynolds,Yisong Han,Richard Beanland,Liudi Jiang,C.H. de Groot,Ruomeng Huang
标识
DOI:10.1002/aelm.202200312
摘要
Abstract Two‐terminal memristor has emerged as one of the most promising neuromorphic artificial electronic devices for their structural resemblance to biological synapses and ability to emulate many synaptic functions. In this work, a memristor based on the back‐end‐of‐line (BEOL) material silicon carbide (SiC) is developed. The thin film memristors demonstrate excellent binary resistive switching with compliance‐free and self‐rectifying characteristics which are advantageous for the implementation of high‐density 3D crossbar memory architectures. The conductance of this SiC‐based memristor can be modulated gradually through the application of both DC and AC signals. This behavior is demonstrated to further emulate several vital synaptic functions including paired‐pulse facilitation (PPF), post‐tetanic potentiation (PTP), short‐term potentiation (STP), and spike‐rate‐dependent plasticity (SRDP). The synaptic function of learning‐forgetting‐relearning processes is successfully emulated and demonstrated using a 3 × 3 artificial synapse array. This work presents an important advance in SiC‐based memristor and its application in both memory and neuromorphic computing.
科研通智能强力驱动
Strongly Powered by AbleSci AI